Applications
1M-token, multimodal decision models are here! But there is more to this one. You can classify, extract, and summarize with 1M tokens of tex…
1M-token, multimodal decision models are here! But there is more to this one. You can classify, extract, and summarize with 1M tokens of text and image input. ScaleDown's Constrained Decoding Models r
1M-token, multimodal decision models are here! But there is more to this one. You can classify, extract, and summarize with 1M tokens of text and image input. ScaleDown's Constrained Decoding Models read the input once and point straight to the answer, with no token-by-token generation. 200x faster, 467x cheaper than frontier LLM APIs. You already gave the LLM the answer. So why is it writing it out from scratch? Introducing a new AI model architecture: Constrained Decoding Models (CDMs) LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable. CDMs are purpose-b…
Related
- Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding
- Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models
- ERASE: Eliminating Redundant Visual Tokens via Adaptive Two-Stage Token Pruning
- Multimodal Large Language Models as Image Classifiers
Source: DAIR.AI (X) | 2026-10-13